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Messung technischer Schulden×Software-Komplexitätsmetriken×
FachgebietSoftwaretechnikSoftwaretechnik
FamilieProcess / pipelineProcess / pipeline
Entstehungsjahr19921976
UrheberWard CunninghamThomas J. McCabe
Typquantitative assessmentquantitative measurement
Wegweisende QuelleCunningham, W. (1992). The WyCash Portfolio Management System. OOPSLA 92 Experience Report. link ↗McCabe, T. J. (1976). A complexity measure. IEEE Transactions on Software Engineering, 2(4), 308–320. DOI ↗
Aliasnamendebt metrics, code health scoring, maintenance burden assessmentcode complexity analysis, complexity measurement
Verwandt44
ZusammenfassungTechnical debt represents accumulated shortcuts, deferred maintenance, and design compromises that incur future costs through slower development, higher defect rates, and deployment difficulty. Introduced by Ward Cunningham (1992), technical debt measurement quantifies these burdens using metrics like code complexity, duplication, test coverage gaps, and maintainability indices. Organizations use debt measurement to balance immediate delivery with long-term sustainability.Software complexity metrics quantify the structural and operational difficulty of code through numerical measurements. Introduced by Thomas McCabe in 1976, cyclomatic complexity became the foundational approach. These metrics assess maintainability, testability, and defect risk, enabling teams to identify problematic code regions and guide refactoring efforts.
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ScholarGateMethoden vergleichen: Technical Debt Measurement · Software Complexity Metrics. Abgerufen am 2026-06-17 von https://scholargate.app/de/compare